max_stars_repo_path stringlengths 3 269 | max_stars_repo_name stringlengths 4 119 | max_stars_count int64 0 191k | id stringlengths 1 7 | content stringlengths 6 1.05M | score float64 0.23 5.13 | int_score int64 0 5 |
|---|---|---|---|---|---|---|
data/raw_data/test.py | orion-orion/Cloze_Test | 1 | 23800 | '''
Descripttion:
Version: 1.0
Author: ZhangHongYu
Date: 2022-02-05 18:23:00
LastEditors: ZhangHongYu
LastEditTime: 2022-05-17 16:26:12
'''
import os
import sys
import json
import argparse
from transformers import AlbertTokenizer
from pytorch_pretrained_bert import BertTokenizer, BertForMaskedLM
file_path = sys.argv[1... | 2.53125 | 3 |
steampipe_alchemy/models/aws_route53_resolver_rule.py | RyanJarv/steampipe_alchemy | 9 | 23801 | <filename>steampipe_alchemy/models/aws_route53_resolver_rule.py
from sqlalchemy import Column
from sqlalchemy.types import JSON, Text, Boolean, TIMESTAMP, BigInteger
from sqlalchemy.dialects import postgresql as psql
from steampipe_alchemy.mixins import FormatMixins
from steampipe_alchemy import Base
class AwsRoute53... | 2.09375 | 2 |
harvester/sharekit/extraction.py | nppo/search-portal | 1 | 23802 | import re
from mimetypes import guess_type
from django.conf import settings
from datagrowth.processors import ExtractProcessor
from datagrowth.utils import reach
from core.constants import HIGHER_EDUCATION_LEVELS, RESTRICTED_MATERIAL_SETS
class SharekitMetadataExtraction(ExtractProcessor):
youtube_regex = re.... | 2.125 | 2 |
jake/test/test_audit.py | lvcarlosja/jake | 0 | 23803 | #
# Copyright 2019-Present Sonatype Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to ... | 2.34375 | 2 |
vintage_commands.py | ktuan89/Vintage | 0 | 23804 | <reponame>ktuan89/Vintage
import sublime, sublime_plugin
import os
#import subprocess
def is_legal_path_char(c):
# XXX make this platform-specific?
return c not in " \n\"|*<>{}[]()"
def move_while_path_character(view, start, is_at_boundary, increment=1):
while True:
if not is_legal_path_char(view.... | 2.46875 | 2 |
bitten/tests/notify.py | dokipen/bitten | 1 | 23805 | <reponame>dokipen/bitten
#-*- coding: utf-8 -*-
#
# Copyright (C) 2007 <NAME>, <<EMAIL>>
# All rights reserved.
#
# This software is licensed as described in the file COPYING, which
# you should have received as part of this distribution.
import unittest
from trac.db import DatabaseManager
from trac.test import Envir... | 1.976563 | 2 |
sparse gamma def/gamma_def_score.py | blei-lab/ars-reparameterization | 33 | 23806 | <filename>sparse gamma def/gamma_def_score.py
from autograd import grad
import autograd.numpy as np
import autograd.numpy.random as npr
import autograd.scipy.special as sp
from gamma_def import *
# Define helper functions for score fnc estimator
def logQ(sample, alpha, m):
"""
Evaluates log of variational app... | 2.71875 | 3 |
codes/Ex036.py | BelfortJoao/Curso-phyton01 | 3 | 23807 | x = float(input('Qual o valor da casa que quer comprar? '))
y = int(input("em quantos anos quer comprar a casa? "))
z = int(input("Qual seu salario? "))
w = y*12
if x / w > (z/100)*30:
print("Voce não pode comprar a casa")
else:
print('Voce pode comprar a casa a parcela é de {:.2f}'.format(x/y))
| 3.671875 | 4 |
datasets/base_dataset.py | iclr2022submission4/cgca | 13 | 23808 | import torch
import random
from torch.utils.data import Dataset, DataLoader
from abc import ABC
from models.base_model import Model
from torch.utils.tensorboard import SummaryWriter
from typing import List
class BaseDataset(Dataset, ABC):
name = 'base'
def __init__(self, config: dict, mode: str = 'train'):
self.... | 2.296875 | 2 |
open_data/dataset/migrations/0005_keyword_squashed_0006_remove_keyword_relevancy.py | balfroim/OpenData | 0 | 23809 | <reponame>balfroim/OpenData
# Generated by Django 3.2 on 2021-04-21 13:01
from django.db import migrations, models
class Migration(migrations.Migration):
replaces = [('dataset', '0005_keyword'), ('dataset', '0006_remove_keyword_relevancy')]
dependencies = [
('dataset', '0004_alter_theme_i... | 1.703125 | 2 |
src/converters/__init__.py | Peilonrayz/json_to_object | 0 | 23810 | <filename>src/converters/__init__.py
from .converter import Converter, Converters, ron
| 1.28125 | 1 |
result/forms.py | Uqhs-1/uqhs | 3 | 23811 |
# -*- coding: utf-8 -*-
"""
Created on Wed Jan 23 08:25:37 2019
@author: AdeolaOlalekan
"""
from django import forms
from django.contrib.auth.forms import UserCreationForm
from django.contrib.auth.models import User
from .models import BTUTOR, CNAME, Edit_User, QSUBJECT, Post
class login_form(forms.Fo... | 2.703125 | 3 |
00-basic/04_01_data_structures_lists.py | TranXuanHoang/Python | 0 | 23812 | <filename>00-basic/04_01_data_structures_lists.py
# Lists
# Basics
foods = ['rice', 'Meat', 'vegetables', 'Eggs']
print(foods)
# Same as foods[len(foods):] = ['butter']
foods.append('butter')
print(foods)
# Same as foods[len(foods):] = ['tomatoes', 'chili sauce']
foods.extend(['tomatoes', 'Chili sauce'])
... | 4.1875 | 4 |
pond5/blueprints/webui/views.py | IvanFrezzaJr/pond5 | 0 | 23813 | <reponame>IvanFrezzaJr/pond5<gh_stars>0
from flask import render_template
def index():
return render_template("index.html", title='pond5 test')
| 1.898438 | 2 |
featureflags/__init__.py | enverbisevac/ff-python-server-sdk | 0 | 23814 | <gh_stars>0
"""Top-level package for Feature Flag Server SDK."""
__author__ = """<NAME>"""
__email__ = "<EMAIL>"
__version__ = "0.1.0"
| 1.023438 | 1 |
MachineLearning/potential_field.py | JhaAman/lihax | 0 | 23815 | <reponame>JhaAman/lihax<filename>MachineLearning/potential_field.py
#!/usr/bin/env python
import math, socket, struct, numpy as np, sys
# Get the gradient of the potential of an obstacle
# particle at (ox, oy) with the origin at (mx, my)
# Get the potential of an obstacle particle at (ox, oy)
# with the origin at ... | 2.5625 | 3 |
decomp/c/gen.py | nihilus/epanos | 1 | 23816 | from itertools import imap, chain
from pycparser import c_generator, c_ast
from decomp import data, ida
from decomp.c import decl as cdecl, types as ep_ct
from decomp.cpu import ida as cpu_ida
XXX_INTRO_HACK = cpu_ida.ida_current_cpu().insns.support_header + '''
#include <stdint.h>
typedef union EPANOS_REG {
uint8... | 2.109375 | 2 |
ocelot/io/__init__.py | cmutel/Ocelot | 21 | 23817 | # -*- coding: utf-8 -*-
__all__ = (
"extract_directory",
"cleanup_data_directory",
"dataset_schema",
"validate_directory",
"validate_directory_against_xsd",
)
from .extract_ecospold2 import extract_ecospold2_directory
from ..filesystem import check_cache_directory, get_from_cache, cache_data
import... | 2.359375 | 2 |
Data-Structure/Basic-Struct/Stack-Queues/Evaluation-of-Expressions/Eval.py | tz70s/lesson | 1 | 23818 | #!/usr/bin/env python3
import stack
import queue
opset = {'*','+','(',")"}
def readinfix():
fh = open("infix.txt")
li = []
li += fh.read()
print (li)
return li
def eval():
evlist = readinfix()
postlist = []
st = stack.Stack()
for op in evlist:
if op in opset:
s... | 3.640625 | 4 |
example/py/CHSHInequality/chsh_inequality.py | samn33/qlazy | 15 | 23819 | import random
from qlazy import QState
def classical_strategy(trials=1000):
win_cnt = 0
for _ in range(trials):
# random bits by Charlie (x,y)
x = random.randint(0,1)
y = random.randint(0,1)
# response by Alice (a)
a = 0
# response by Bob (b)
b = 0
... | 2.765625 | 3 |
peerplays/blockchainobject.py | farisshajahan/python-peerplays | 10 | 23820 | <reponame>farisshajahan/python-peerplays
# -*- coding: utf-8 -*-
from .instance import BlockchainInstance
from graphenecommon.blockchainobject import (
BlockchainObject as GrapheneBlockchainObject,
BlockchainObjects as GrapheneBlockchainObjects,
ObjectCache,
)
@BlockchainInstance.inject
class BlockchainOb... | 1.78125 | 2 |
Code/Python/LeetCode/tempCodeRunnerFile.py | dks1018/CoffeeShopCoding | 0 | 23821 | arr_1 = ["1","2","3","4","5","6","7"]
arr_2 = []
for n in arr_1:
arr_2.insert(0,n)
print(arr_2)
| 3.40625 | 3 |
pyvat/utils.py | ponyville/pyvat | 48 | 23822 | from decimal import Decimal
def ensure_decimal(value):
return value if isinstance(value, Decimal) else Decimal(value)
| 2.828125 | 3 |
pype/modules/idle_manager/__init__.py | simonebarbieri/pype | 0 | 23823 | from .idle_module import (
IdleManager,
IIdleManager
)
__all__ = (
"IdleManager",
"IIdleManager"
)
| 1.195313 | 1 |
server/src/tests/samples/typeConstraint3.py | higoshi/pyright | 0 | 23824 | <gh_stars>0
# This sample exercises the type analyzer's assert type constraint logic.
from typing import Union
def foo(a: Union[str, int]) -> int:
if True:
# This should generate an error because
# a could be a str.
return a
assert isinstance(a, int)
return a
| 3.0625 | 3 |
Attention.py | Pok0923/Time-series-forecasting-model | 0 | 23825 | import tensorflow as tf
from tensorflow import keras
from tensorflow.keras import backend as K
from keras.models import Sequential,Model
from keras.layers import *
from keras.optimizers import SGD,Adam
class OurLayer(Layer):
def reuse(self, layer, *args, **kwargs):
if not layer.built:
if len(a... | 2.59375 | 3 |
tests/remix/test_audio_chunk_merger.py | nroldanf/infiniteremixer | 0 | 23826 | <reponame>nroldanf/infiniteremixer<gh_stars>0
import numpy as np
import pytest
from infiniteremixer.remix.audiochunkmerger import AudioChunkMerger
@pytest.fixture
def chunk_manager():
return AudioChunkMerger()
def test_chunk_manager_is_instantiated(chunk_manager):
assert isinstance(chunk_manager, AudioChun... | 2.421875 | 2 |
app/libpinanny/__init__.py | MelonSmasher/piNanny | 0 | 23827 | from subprocess import PIPE, Popen
# Converts celsius temps to fahrenheit
def c2f(celsius):
return (9.0 / 5) * celsius + 32
# Gets the CPU temperature in degrees C
def get_cpu_temperature():
process = Popen(['vcgencmd', 'measure_temp'], stdout=PIPE)
output, _error = process.communicate()
return floa... | 3.046875 | 3 |
paas-ce/paas/paas/esb/apps/guide/component_template/en/hcp/get_host_list.py | renmcc/bk-PaaS | 2 | 23828 | # -*- coding: utf-8 -*-
"""
Tencent is pleased to support the open source community by making 蓝鲸智云PaaS平台社区版 (BlueKing PaaS Community Edition) available.
Copyright (C) 2017-2018 THL A29 Limited, a Tencent company. All rights reserved.
Licensed under the MIT License (the "License"); you may not use this file except in co... | 1.84375 | 2 |
pretix_googlepaypasses/views.py | pc-coholic/pretix-googlepaypasses | 2 | 23829 | import json
import logging
from json import JSONDecodeError
from django.http import (
HttpResponse, HttpResponseBadRequest, HttpResponseForbidden,
)
from django.views.decorators.csrf import csrf_exempt
from django.views.decorators.http import require_POST
from pretix.base.models import Organizer
from . import tas... | 2.03125 | 2 |
alf/utils/checkpoint_utils.py | breakds/alf | 1 | 23830 | <filename>alf/utils/checkpoint_utils.py
# Copyright (c) 2020 Horizon Robotics and ALF Contributors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.ap... | 2.203125 | 2 |
automon/integrations/slack/config.py | TheShellLand/automonisaur | 2 | 23831 | <reponame>TheShellLand/automonisaur
import os
from automon.log import Logging
log = Logging(name=__name__, level=Logging.ERROR)
class ConfigSlack:
slack_name = os.getenv('SLACK_USER') or ''
slack_webhook = os.getenv('SLACK_WEBHOOK') or ''
slack_proxy = os.getenv('SLACK_PROXY') or ''
slack_token = os... | 2.296875 | 2 |
z2z_metadata/__init__.py | Mitchellpkt/z2z-metadata | 0 | 23832 | <gh_stars>0
"""Top-level package for z2z Metadata analysis."""
__author__ = """Isthmus // <NAME>"""
__email__ = '<EMAIL>'
__version__ = '0.0.1'
| 0.839844 | 1 |
pyeparse/tests/__init__.py | Eric89GXL/pyeparse | 0 | 23833 | <reponame>Eric89GXL/pyeparse
# Authors: <NAME> <<EMAIL>>
#
# License: BSD (3-clause)
| 0.855469 | 1 |
Murphi/ModularMurphi/TemplateClass.py | icsa-caps/HieraGen | 6 | 23834 | <filename>Murphi/ModularMurphi/TemplateClass.py
import inspect
import os
import re
class TemplateHandler:
# Constant definitions
tab = " "
nl = "\n"
sem = ";"
end = sem + nl
def __init__(self, template_dir: str):
self.templatepath = os.path.dirname(os.path.abspath(inspect.getfile(in... | 2.453125 | 2 |
bot/exts/filters/token_remover.py | adhikariprajitraj/bot | 0 | 23835 | <reponame>adhikariprajitraj/bot
import base64
import binascii
import logging
import re
import typing as t
from discord import Colour, Message, NotFound
from discord.ext.commands import Cog
from bot import utils
from bot.bot import Bot
from bot.constants import Channels, Colours, Event, Icons
from bot.exts.moderation.... | 2.34375 | 2 |
setup.py | PaulDodd/pynomial | 0 | 23836 | import sys
from setuptools import setup, find_packages
setup(
name='pynomial',
version='0.0.0',
packages=find_packages(),
author='<NAME>',
author_email='<EMAIL>',
description="python package for combinatorial problems",
url="https://github.com/PaulDodd/pynomial.git",
install_requires=[]... | 1.382813 | 1 |
src/seedbox/migrations/versions/35099fc974d2_.py | nailgun/seedbox | 29 | 23837 | <filename>src/seedbox/migrations/versions/35099fc974d2_.py
"""empty message
Revision ID: 35099fc974d2
Revises: ae00e7974dca
Create Date: 2017-05-19 17:01:48.878196
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '35099fc974d2'
down_revision = 'ae00e7974dca'
bra... | 1.5625 | 2 |
searchNMin2.py | plguhur/random-sets | 0 | 23838 | <filename>searchNMin2.py<gh_stars>0
from randomSets import *
import numpy as np
winners = [1,5,10]
candidates = range(100, 1100, 500)
Nmin = np.zeros((len(winners),len(candidates)))
for i in range(len(winners)):
for j in range(len(candidates)):
print("Nwinner: %i, Ncandidates: %i" % (winners[i], candidates... | 2.734375 | 3 |
drs4Calibration/drs4Calibration_version_0/config.py | fact-project/DrsTemperatureCalibration | 0 | 23839 | from drs4Calibration.drs4Calibration_version_0.constants import NRCELL, ROI
# Dont shuffle drsValueTypes
# The order have to be the same as the of the 'RUNIDs'
# in the drsFiles
drsValueTypes = ['Baseline',
'Gain',
'TriggerOffset']
renamedDrsValueTypes = ['Baseline',
... | 1.742188 | 2 |
clisk/player/player.py | etano/clisk | 0 | 23840 | <filename>clisk/player/player.py
class Player(object):
"""Player class
Attributes:
name (str): Player name
"""
def __init__(self, name):
"""Initialize player
Args:
name (str): Player name
"""
self.name = name
def place_troops(self, ... | 3.640625 | 4 |
bai03.py | trietto/python | 0 | 23841 | n=int(input("Nhap vao mot so:"))
d=dict()
for i in range(1, n+1):
d[i]=i*i
print(d) | 3.515625 | 4 |
quizme.pyw | dmahugh/quizme | 0 | 23842 | <filename>quizme.pyw<gh_stars>0
"""GUI for taking tests based on quizme-xxx.json files.
"""
import os
import sys
import json
from random import randint
import tkinter as tk
from tkinter import font
from tkinter import ttk
from tkinter import filedialog
from tkinter import messagebox
from widgetrefs import widgets
de... | 3.65625 | 4 |
kedro/extras/datasets/pandas/appendable_excel_dataset.py | hfwittmann/kedro | 1 | 23843 | """``AppendableExcelDataSet`` loads/saves data from/to a local Excel file opened in append mode.
It uses pandas to handle the Excel file.
"""
from copy import deepcopy
from pathlib import Path, PurePosixPath
from typing import Any, Dict
import pandas as pd
from kedro.io.core import AbstractDataSet, DataSetError
cla... | 2.828125 | 3 |
examples/phobos/tests/test_std_system.py | kinke/autowrap | 47 | 23844 | def test_import():
import std_system
| 1.015625 | 1 |
graalpython/benchmarks/src/meso/euler31.py | muellren/graalpython | 1 | 23845 | <reponame>muellren/graalpython<filename>graalpython/benchmarks/src/meso/euler31.py
#!/usr/bin/env python
# Copyright 2008-2010 <NAME>
# Copyright (c) 2013, 2014, Regents of the University of California
# Copyright (c) 2017, 2018, Oracle and/or its affiliates.
# All rights reserved.
#
# Revised BSD license
#
# This is a... | 1.617188 | 2 |
comicMaker/readComicsOnlineRu.py | Gunjan933/comicMaker | 3 | 23846 | from .makeFullPdf import makeFullPdf
from .parseImage import parseImage
from .makePdf import makePdf
import requests,os,os.path,sys,time,json
from bs4 import BeautifulSoup
def readComicsOnlineRu():
while True:
try:
with open('config.json', 'r', encoding="utf-8") as f:
books = json.load(f)
library=[*books[... | 2.921875 | 3 |
geoipgen/generate.py | christivn/INDES-devices-scan-engine | 2 | 23847 | from . import subnetCal
from . import functions
from random import randint
def IP(cidr):
arr=subnetCal.simpleCalculate(cidr)
min_host=arr[3]
smin_host=min_host.split(".")
max_host=arr[4]
smax_host=max_host.split(".")
ip=""
for i in range(4):
if(smin_host[i]==smax_host[i]):
... | 2.6875 | 3 |
lib/googlecloudsdk/command_lib/filestore/operations/flags.py | bshaffer/google-cloud-sdk | 0 | 23848 | # -*- coding: utf-8 -*- #
# Copyright 2017 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requir... | 1.398438 | 1 |
model_agreement.py | ntunlp/coherence-paradigm | 0 | 23849 | import sys
import pickle
from krips_alpha import krippendorff_alpha, nominal_metric
def get_model_labels(model_output):
model_labels = []
for x in model_output:
try:
if x['pos_score'] > x['neg_score']:
model_labels.append('0')
elif x['neg_score'] > x['pos_score']:
model_labels.append('1')
else:
... | 2.484375 | 2 |
lewansoul-lx16a/lewansoul_lx16a.py | christophschnabl/lewansoul-lx16a | 2 | 23850 | <reponame>christophschnabl/lewansoul-lx16a
__all__ = [
'ServoController',
'TimeoutError',
'SERVO_ERROR_OVER_TEMPERATURE',
'SERVO_ERROR_OVER_VOLTAGE',
'SERVO_ERROR_LOCKED_ROTOR',
]
from serial.serialutil import *
from functools import partial
import threading
import logging
SERVO_ID_ALL = 0xfe
... | 2.34375 | 2 |
Basic Data Structures/string/leet_551_StudentAttendanceRecordI.py | rush2catch/algorithms-leetcode | 0 | 23851 | # Problem: Student Attendance Record I
# Difficulty: Easy
# Category: String
# Leetcode 551: https://leetcode.com/problems/student-attendance-record-i/#/description
# Description:
"""
You are given a string representing an attendance record for a student.
The record only contains the following three characters:
'A' : ... | 3.796875 | 4 |
etc/check-python.py | maxzheng/auto-update | 7 | 23852 | #!/usr/bin/env python
import argparse
import os
import platform
import re
import shutil
import subprocess
import sys
SUPPORTED_VERSIONS = ('3.6', '3.7')
IS_DEBIAN = platform.system() == 'Linux' and os.path.exists('/etc/debian_version')
IS_OLD_UBUNTU = (IS_DEBIAN and os.path.exists('/etc/lsb-release')
... | 2.84375 | 3 |
pnet/measure.py | changshuowang/PersistenceNetwork | 1 | 23853 | import numpy as np
from sklearn.metrics import average_precision_score as ap
from sklearn.metrics import roc_auc_score
"""
each row is an instance
each column is the prediction of a class
"""
def _score_to_rank(score_list):
rank_array = np.zeros([len(score_list)])
score_array = np.array(score_list)
idx_so... | 2.9375 | 3 |
src/trainer/transformations.py | tiborkubik/Robust-Teeth-Detection-in-3D-Dental-Scans-by-Automated-Multi-View-Landmarking | 2 | 23854 | """
:filename transformations.py
:author <NAME>
:email <EMAIL>
from
Classes of custom transformations that are applied during the training as additional augmentation of the depth maps.
"""
import torch
import random
import numpy as np
import torch.nn.functional as F
from random import randrange
from s... | 2.765625 | 3 |
solutions/python3/1009.py | sm2774us/amazon_interview_prep_2021 | 42 | 23855 | class Solution:
def bitwiseComplement(self, N: int, M = 0, m = 0) -> int:
return N ^ M if M and M >= N else self.bitwiseComplement(N, M + 2 ** m, m + 1) | 3.453125 | 3 |
cappuccino.py | y-tsutsu/cappuccino | 1 | 23856 | import random
import shutil
import sys
from argparse import ArgumentParser
from os import path
from pathlib import Path
from threading import Thread
from PySide6 import __version__ as PySideVer
from PySide6.QtCore import (Property, QCoreApplication, QObject, Qt, QTimer,
Signal, Slot)
from P... | 2.203125 | 2 |
lofti_gaia/lofti.py | logan-pearce/lofti_gaia | 2 | 23857 | import astropy.units as u
import numpy as np
from lofti_gaia.loftitools import *
from lofti_gaia.cFunctions import calcOFTI_C
#from loftitools import *
import pickle
import time
import matplotlib.pyplot as plt
# Astroquery throws some warnings we can ignore:
import warnings
warnings.filterwarnings("ignore")
'''This mo... | 2.34375 | 2 |
src/data_curation/dataset_manager/views.py | NovaSBE-DSKC/retention-evaluation | 0 | 23858 | from src.data_curation.dataset_manager import get_meta
import pandas as pd
def view_all():
return get_meta()
def get_docs(id):
df = get_meta()
docs = df[df["id"] == id]["docs"].iloc[0]
df = pd.read_json(docs)
return df
| 2.6875 | 3 |
deid/model/layers/__init__.py | KavishBhatia/deid-training-data | 15 | 23859 | from .gradient_reversal import GradientReversal
from .noise import Noise, AdditiveNoise, MultiplicativeNoise
| 1.179688 | 1 |
db_pool/mysql/base.py | GiftLee/devops | 300 | 23860 | # -*- coding: utf-8 -*-
"""
查看 django.db.backends.mysql.base.by 源码发现 django 连接 mysql 时没有使用连接池，
导致每次数据库操作都要新建新的连接并查询完后关闭，更坑的是按照 django 的官方文档设置
CONN_MAX_AGE 参数是为了复用连接，然后设置了 CONN_MAX_AGE 后，每个新连接查询完后并不
会 close 掉，而是一直在那占着。如果在高并发模式下，很容易出现 too many connections
错误。故重写 mysql 连接库，实现连接池功能。
"""
from django.core.exceptions import I... | 2.5 | 2 |
flowsa/flowbyfunctions.py | modelearth/flowsa | 13 | 23861 | <reponame>modelearth/flowsa<filename>flowsa/flowbyfunctions.py
# flowbyfunctions.py (flowsa)
# !/usr/bin/env python3
# coding=utf-8
"""
Helper functions for flowbyactivity and flowbysector data
"""
import pandas as pd
import numpy as np
from esupy.dqi import get_weighted_average
import flowsa
from flowsa.common import... | 2.09375 | 2 |
stochastic_hill_climbing/src/AdalineSGD.py | Wookhwang/Machine-Learning | 0 | 23862 | <reponame>Wookhwang/Machine-Learning<filename>stochastic_hill_climbing/src/AdalineSGD.py
import numpy as np
# gradient descent는 tensorflow에 이미 구현이 되어있다.
# 확률적 선형 뉴런 분석기는 각 훈련 샘플에 대해서 조금씩 가중치를 업데이트 한다.
class AdalineSGD(object):
"""Adaptive Linear Neuron 분류기
매개변수
------------
eta : float
... | 2.578125 | 3 |
las1.2.py | Theskill19/sweetpotato | 0 | 23863 | <filename>las1.2.py
#2. Пользователь вводит время в секундах.
# Переведите время в часы, минуты и секунды и выведите в формате чч:мм:сс.
# Используйте форматирование строк.
time = int(input("Введите время в секундах "))
hours = time // 3600
minutes = (time - hours * 3600) // 60
seconds = time - (hours * 3600 + ... | 3.828125 | 4 |
tpdatasrc/tpgamefiles/rules/char_class/class020_archmage.py | edoipi/TemplePlus | 0 | 23864 | from toee import *
import char_class_utils
###################################################
def GetConditionName():
return "Archmage"
def GetSpellCasterConditionName():
return "Archmage Spellcasting"
def GetCategory():
return "Core 3.5 Ed Prestige Classes"
def GetClassDefinitionFlags():
return CDF_CoreClass... | 2.09375 | 2 |
src/bananas/drf/errors.py | beshrkayali/django-bananas | 26 | 23865 | <reponame>beshrkayali/django-bananas
from rest_framework import status
from rest_framework.exceptions import APIException
class PreconditionFailed(APIException):
status_code = status.HTTP_412_PRECONDITION_FAILED
default_detail = "An HTTP precondition failed"
default_code = "precondition_failed"
class Ba... | 2.1875 | 2 |
tools/train_net.py | luzhenyv/sesame | 0 | 23866 | <reponame>luzhenyv/sesame<gh_stars>0
"""Train a video classification"""
import torch
import sesame.models.losses as losses
import sesame.models.optimizer as optim
import sesame.utils.distributed as du
import sesame.utils.misc as misc
import sesame.utils.metrics as metrics
import sesame.utils.logger as logger
from ses... | 2.328125 | 2 |
setup.py | stshrive/pycense | 0 | 23867 | <gh_stars>0
import os
import setuptools
VERSION = "1.0.0a1+dev"
INSTALL_REQUIRES = [
'pip-licenses',
]
CLASSIFIERS = [
'Development Status :: 3 - Alpha',
'Intended Audience :: Developers',
'Intended Audience :: Science/Research'
]
def read(fname):
return open(os.path.join(os.path.dirname(__file_... | 1.453125 | 1 |
parents/admin.py | joseph0919/Student_Management_Django | 0 | 23868 | from django.contrib import admin
from parents.models import Guardian
admin.site.register(Guardian)
| 1.148438 | 1 |
src/test/tests/hybrid/missingdata.py | visit-dav/vis | 226 | 23869 | # ----------------------------------------------------------------------------
# CLASSES: nightly
#
# Test Case: missingdata.py
#
# Tests: missing data
#
# Programmer: <NAME>
# Date: Thu Jan 19 09:49:15 PST 2012
#
# Modifications:
#
# -------------------------------------------------------------------... | 2.296875 | 2 |
data_input/__init__.py | uabalabadubdub/ppcd-pec4 | 0 | 23870 | <filename>data_input/__init__.py
from pathlib import Path
current_path = Path(".")
datafolder = current_path / "data"
imagefolder = current_path / "images"
if not datafolder.exists():
print(f"Creating {datafolder}/...")
datafolder.mkdir()
if not imagefolder.exists():
print(f"Creating {imagefolder}/...")
... | 3.109375 | 3 |
displacy_service_tests/test_server.py | mjfox3/spacy-api-docker | 0 | 23871 | import falcon.testing
import pytest
import json
from displacy_service.server import APP, MODELS
model = MODELS[0]
@pytest.fixture()
def api():
return falcon.testing.TestClient(APP)
def test_deps(api):
result = api.simulate_post(
path='/dep',
body='{{"text": "This is a test.", "model": "{m... | 2.578125 | 3 |
exposures/generate_passwords.py | jarnoln/exposures | 0 | 23872 | #!/usr/bin/env python
import random
import argparse
def generate_passwords(password_file_path):
password_file = open(password_file_path, 'w')
chars = 'abcdefghijklmnopqrstuvxyz01234567890_-!*'
secret_key = ''.join(random.SystemRandom().choice(chars) for _ in range(50))
password_file.write("SECRET_KEY ... | 3.34375 | 3 |
adversarial-transfer-nlp/CW_attack.py | AI-secure/Uncovering-the-Connections-BetweenAdversarial-Transferability-and-Knowledge-Transferability | 8 | 23873 | <filename>adversarial-transfer-nlp/CW_attack.py
import sys
import torch
import numpy as np
from torch import optim
from util import args
class CarliniL2:
def __init__(self, targeted=True, search_steps=None, max_steps=None, cuda=True, debug=False, num_classes=14):
self.debug = debug
self.targeted... | 2.453125 | 2 |
api/cueSearch/migrations/0005_searchcardtemplate_connectiontype.py | cuebook/CueSearch | 3 | 23874 | # Generated by Django 3.2.5 on 2022-02-18 08:20
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
("dataset", "0001_initial"),
("cueSearch", "0004_auto_20220217_0217"),
]
operations = [
migrations.Ad... | 1.578125 | 2 |
FormulaAccordingPrint.py | FreeBirdsCrew/Brainstorming_Codes | 1 | 23875 | <reponame>FreeBirdsCrew/Brainstorming_Codes<filename>FormulaAccordingPrint.py<gh_stars>1-10
"""
Write a program that calculates and prints the value according to the given formula:
Q = Square root of [(2 * C * D)/H]
Following are the fixed values of C and H:
C is 50. H is 30.
D is the variable whose values should ... | 4.15625 | 4 |
src/django_sys_indicator/utils.py | marksweb/django-sys-indicator | 1 | 23876 | from __future__ import annotations
from django.template.loader import render_to_string
from .conf import settings
def django_sys_indicator_tag() -> str:
template_name = 'django_sys_indicator/system_indicator.html'
try:
color, border_color = settings.SYSTEM_INDICATOR_COLORS[
settings.SYS... | 2.0625 | 2 |
MUNDO 1/ex023.py | athavus/Curso-em-video-Python-3 | 1 | 23877 | <reponame>athavus/Curso-em-video-Python-3
n1 = int(input('Digite um número entre 0 e 9999: '))
u = n1 // 1 % 10
d = n1 // 10 % 10
c = n1 // 100 % 10
m = n1 // 1000 % 10
print(f'Analisando o número {n1}')
print(f'unidade: {u}')
print(f'dezena: {d}')
print(f'centena: {c}')
print(f'milhar: {m}')
| 3.59375 | 4 |
Python Notebook/Python files/data_utility.py | wilfy9249/Capstone-Fall-18 | 2 | 23878 | #!/usr/bin/env python
# coding: utf-8
# In[1]:
import numpy as np
import pandas as pd
import os
# In[2]:
#function to get current directory
def getCurrentDirectory():
listDirectory = os.listdir('../')
return listDirectory
# In[3]:
#function to read csv file
def readCsvFile(path):
crimes_original =... | 3.203125 | 3 |
microtbs_rl/algorithms/common/__init__.py | alex-petrenko/simple-reinforcement-learning | 8 | 23879 | <filename>microtbs_rl/algorithms/common/__init__.py
from microtbs_rl.algorithms.common.agent import AgentLearner
from microtbs_rl.algorithms.common.loops import run_policy_loop
| 1.148438 | 1 |
retrieve/GetTotalEarnings.py | TRiCAM-Lab/task-effort | 0 | 23880 |
import sys
from collections.abc import Mapping
import firebase_admin
from firebase_admin import credentials
from firebase_admin import firestore
# Use a service account
cred = credentials.Certificate('./service-account-key.json')
firebase_admin.initialize_app(cred)
db = firestore.client()
for row in sys.stdin:
... | 2.734375 | 3 |
pyGAE/handlers/ManageSubscriptionHandler.py | analyticstraining/pycocms | 0 | 23881 | <reponame>analyticstraining/pycocms<filename>pyGAE/handlers/ManageSubscriptionHandler.py<gh_stars>0
from BaseHandler import BaseHandler, user_required
class ManageSubscriptionHandler(BaseHandler):
@user_required
def get(self):
self.render_template('manage_subscription.html') | 1.609375 | 2 |
aiphysim/models/spacetime.py | perovai/deepkoopman | 0 | 23882 | <gh_stars>0
import torch
import torch.nn as nn
class SpaceTime(nn.Module):
def __init__(self, opts):
# TODO: Add things like no. of hidden layers to opts
pass
class LSTM(nn.Module):
# This class is largely derived from
# https://stackabuse.com/time-series-prediction-using-lstm-with-pytor... | 3.109375 | 3 |
fabfile/text.py | nprapps/austin | 7 | 23883 | #!/usr/bin/env python
"""
Commands related to syncing copytext from Google Docs.
"""
from fabric.api import task
from termcolor import colored
import app_config
from etc.gdocs import GoogleDoc
@task(default=True)
def update():
"""
Downloads a Google Doc as an Excel file.
"""
if app_config.COPY_GOOGL... | 2.8125 | 3 |
program.py | jaesik817/programmable-agents_tensorflow | 39 | 23884 | import tensorflow as tf
import numpy as np
import math
# Parameter
order_num=2;
class Program:
def __init__(self,sess,state_dim,obj_num,fea_size,Theta,program_order,postfix):
self.sess = sess;
self.state_dim = state_dim;
self.fea_size=fea_size;
self.obj_num=obj_num;
self.order_num=order_num;
... | 2.75 | 3 |
ism_pkg/tools/opt_gaussian.py | endsley/stochastic_ISM | 1 | 23885 | <gh_stars>1-10
#!/usr/bin/env python
import sys
import matplotlib
import numpy as np
import random
import itertools
import socket
import sklearn.metrics
from scipy.optimize import minimize
from scipy.optimize import Bounds
from sklearn import preprocessing
from sklearn.preprocessing import OneHotEncoder
from sklearn.... | 2.1875 | 2 |
tests/commands/test_generate.py | pedrovelho/camp | 0 | 23886 | <reponame>pedrovelho/camp<gh_stars>0
#
# CAMP
#
# Copyright (C) 2017, 2018 SINTEF Digital
# All rights reserved.
#
# This software may be modified and distributed under the terms
# of the MIT license. See the LICENSE file for details.
#
from unittest import TestCase
from camp.commands import Command, Generate
c... | 2.375 | 2 |
create_cpu_config.py | ttungl/HeteroArchGen4M2S | 5 | 23887 | #!/usr/bin/env python
# ===========================================================================
# Copyright 2017 `<NAME>`
# Email: ttungl at gmail dot com
# Heterogeneous Architecture Configurations Generator for Multi2Sim simulator
# (aka, `HeteroArchGen4M2S`)
# `HeteroArchGen4M2S` is free software, which is fre... | 1.710938 | 2 |
app/wall_e/models/canvas_api.py | dbwebb-se/umbridge | 0 | 23888 | <gh_stars>0
"""
"""
import os
from flask import current_app
from canvasapi import submission, requester
from app.wall_e.models.requester import Requester
from app.settings import settings
class Canvas(Requester):
"""
Model class for wall_e.fetch
"""
def __init__(self, base_url, api_token, course_id, ... | 2.59375 | 3 |
chat/views.py | xiaoqiao99/chat | 2 | 23889 | <reponame>xiaoqiao99/chat<gh_stars>1-10
from django.shortcuts import render
# Create your views here.
# chat/views.py
from django.shortcuts import render
from django.utils.safestring import mark_safe
import json
from chat.models import Room
def index(request):
# from channels.layers import get_channel_layer
#... | 2.125 | 2 |
src/app/db.py | jorwalk/fastapi-crud-async | 0 | 23890 | import os
from sqlalchemy import (Column, DateTime, Integer, MetaData, String, Text, Table,
create_engine)
from sqlalchemy.sql import func
from databases import Database
DATABASE_URL = os.getenv("DATABASE_URL")
# SQLAlchemy
engine = create_engine(DATABASE_URL)
metadata = MetaData()
movies =... | 2.75 | 3 |
python/greshunkel.py | qpfiffer/38-Moths | 14 | 23891 | <reponame>qpfiffer/38-Moths
from ctypes import cdll, c_char_p, c_size_t, c_void_p, Union,\
LittleEndianStructure, c_char, POINTER,\
c_int, byref, CFUNCTYPE, create_string_buffer
class greshunkel_var(Union):
_fields_ = [
("str", c_char * 513),
("arr", c_... | 1.90625 | 2 |
objects/paginators.py | fossabot/KiwiBot | 0 | 23892 | from collections import OrderedDict
from asyncio import TimeoutError, wait
from concurrent.futures import FIRST_COMPLETED
import time
from discord import TextChannel, DMChannel
from discord.errors import Forbidden, NotFound
from objects.context import Context
class PaginatorABC:
def __init__(self, bot, looped... | 2.46875 | 2 |
tests/test_managedblockchain/test_managedblockchain_proposalvotes.py | junelife/moto | 1 | 23893 | from __future__ import unicode_literals
import os
import boto3
import sure # noqa
from freezegun import freeze_time
from unittest import SkipTest
from moto import mock_managedblockchain, settings
from . import helpers
@mock_managedblockchain
def test_vote_on_proposal_one_member_total_yes():
conn = boto3.clien... | 2.03125 | 2 |
docs/Others/Python_leetcode/Codes/1.Two_Sum.py | mheanng/PythonNote | 2 | 23894 | <gh_stars>1-10
"""
给定一个整数数组 nums 和一个目标值 target，请你在该数组中找出和为目标值的那 两个 整数，并返回他们的数组下标。
你可以假设每种输入只会对应一个答案。但是，你不能重复利用这个数组中同样的元素。
示例:
给定 nums = [2, 7, 11, 15], target = 9
因为 nums[0] + nums[1] = 2 + 7 = 9
所以返回 [0, 1]
"""
# %%
class Solution:
def twoSum(self, nums, target):
S = set(nums)
for num in S:
... | 3.296875 | 3 |
pyathena/util/rebin.py | changgoo/pyathena-1 | 1 | 23895 | <reponame>changgoo/pyathena-1
from __future__ import print_function
import numpy as np
def rebin_xyz(arr, bin_factor, fill_value=None):
"""
Function to rebin masked 3d array.
Parameters
----------
arr : ndarray
Masked or unmasked 3d numpy array. Shape is assumed to be (nz, ny, nx).
... | 3.296875 | 3 |
fn_utilities/fn_utilities/components/utilities_shell_command.py | rudimeyer/resilient-community-apps | 1 | 23896 | # -*- coding: utf-8 -*-
# (c) Copyright IBM Corp. 2018. All Rights Reserved.
# pragma pylint: disable=unused-argument, no-self-use
"""Function implementation"""
import os
import logging
import time
import shlex
import subprocess
import json
import chardet
import winrm
import re
from resilient_circuits import Resilien... | 2 | 2 |
snapmerge/home/migrations/0010_project_email.py | R4356th/smerge | 13 | 23897 | <reponame>R4356th/smerge
# Generated by Django 2.0.1 on 2018-07-26 12:51
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('home', '0009_auto_20180726_1214'),
]
operations = [
migrations.AddField(
model_name='project',
... | 1.460938 | 1 |
othello.py | edjacob25/Intelligent-Systems | 0 | 23898 | <filename>othello.py
from games import (GameState, Game, query_player, random_player,
alphabeta_player, play_game, minimax_decision,
alphabeta_full_search, alphabeta_search)
class Othello(Game):
"""Juega Othello en un tablero 8 x 8, con Max (primer jugador) jugando con
... | 3.8125 | 4 |
bot/lib/controller/GetCommentTask.py | nullwriter/ig-actor | 0 | 23899 | <gh_stars>0
import time
import re
from FileLogger import FileLogger as FL
import datetime
class GetCommentTask:
def __init__(self, task, name="extract-comment"):
self.task = task
self.name = name
self.comments = []
self.log = FL('Extracted Comments {:%Y-%m-%d %H:%M:%S}.txt'.format... | 2.65625 | 3 |